MLOps Engineer # 502156

Hi Team

Please work on below Requirement

Title: MLOps Engineer # 502156

Client: Caterpillar

Job ID: 100636-1

Duration: 13 Months

Location: Chicago IL USA- Hybrid

Bill rate: $68

Pay rate: $52 on W2 and $56 on C2C if they are okay to be presented on W2

Position:1

Slots:2

Shift: M-F 8:30am - 4:30pm

Summary:

AWS GoLang Java MLOps (Machine Learning Operations) Python

Job Description:

Education Requirements:
Bachelors degree or Masters degree

Required Skills for the MLOps Engineer:
Bachelors plus 5 years of experience Masters plus 3 years of experience
Experience working with an object-oriented programming language (Python Golang Java C/C etc.)
Experience with MLOps frameworks like MLflow Kubeflow etc
Proficiency in programming (Python R SQL)
Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g. AWS)
Strong understanding of DevOps principles and practices CI/CD etc. and tools (Git GitHub jFrog Artifactory Azure DevOps etc.)
Experience with containerization technologies like Docker and Kubernetes
Strong communication and collaboration skills
Ability to help work with a team to create User Stories and Tasks out of higher-level requirements

Preferred Skills:
Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow
Knowledge of inference systems like Seldon Kubeflow etc
Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile
Knowledge of infrastructure orchestration using CloudFormation or Terraform
Exposure to observability tools (such as Evidently AI)

MLOps Engineer Overview:
The MLOps Platform Team works within the Enterprise Data and Analytics Organization driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise helping teams build high-value data and AI/ML products and enable the operationalization and reliability of all models. We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow. The role will build the MLOps Platform build self-service ML Development tooling and building platform adoption.

Responsibilities:
Define scalable and secure architectures frameworks and pipelines for building deploying and diagnosing production ML applications
Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training
Collaborate with internal stakeholders to build a comprehensive MLOps Platform
Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g. AWS)
Develop standards and examples to accelerate the productivity of data science teams
Run code refactoring and optimization containerization deployment versioning and monitoring of its quality including data & concept drift
Create way to automate the testing validation and deployment of data science models
Provide best practices and execute POC for automated and efficient MLOps at scale